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Deadline: 30th September 2026 Learn more about the programme: PhD Programme | Danube Private University Where to apply E-mail [email protected] Requirements Research FieldOtherEducation LevelMaster
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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23 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Educational sciences » Education Educational sciences » Learning studies Researcher Profile First Stage
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adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
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our website: https://www.list.lu/ How will you contribute? You will join the recently awarded PEARL project FUNG-FACTORY in a team of approximately 10 people – led by Ronald de Vries, dedicated
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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models. We further propose to develop scalable structure learning methods for these new models, including latent variable identification, and to demonstrate their effectiveness on real data. For this, we
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. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? The AI Readiness and Assessment (AIRA) research group at LIST is seeking a highly motivated